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Backport PR #2384: Adapt inline backend to changes in matplotlib...
Backport PR #2384: Adapt inline backend to changes in matplotlib Matplotlib recently merged https://github.com/matplotlib/matplotlib/pull/1125 that makes it simpler to use objective oriented figure creation by automatically creating the right canvas for the backend. To solve that all backends must provide a backend_xxx.FigureCanvas. This is obviosly missing from the inline backend. The change is needed to make the inline backend work with mpl's 1.2.x branch which is due to released soon. Simply setting the default canvas equal to a Agg canvas appears to work for both svg and png figures but I'm not sure weather that is the right approach. Should the canvas depend on the figure format and provide a svg canvas for a svg figure? (Note that before this change to matplotlib the canvas from a plt.figure call seams to be a agg type in all cases) Edit: I made the pull request against 0.13.1 since it would be good to have this in the stable branch for when mpl is released. Just let me know and I can rebase it against master

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fakemodule.py
66 lines | 2.0 KiB | text/x-python | PythonLexer
# -*- coding: utf-8 -*-
"""
Class which mimics a module.
Needed to allow pickle to correctly resolve namespaces during IPython
sessions.
"""
#*****************************************************************************
# Copyright (C) 2002-2004 Fernando Perez. <fperez@colorado.edu>
#
# Distributed under the terms of the BSD License. The full license is in
# the file COPYING, distributed as part of this software.
#*****************************************************************************
import types
def init_fakemod_dict(fm,adict=None):
"""Initialize a FakeModule instance __dict__.
Kept as a standalone function and not a method so the FakeModule API can
remain basically empty.
This should be considered for private IPython use, used in managing
namespaces for %run.
Parameters
----------
fm : FakeModule instance
adict : dict, optional
"""
dct = {}
# It seems pydoc (and perhaps others) needs any module instance to
# implement a __nonzero__ method, so we add it if missing:
dct.setdefault('__nonzero__',lambda : True)
dct.setdefault('__file__',__file__)
if adict is not None:
dct.update(adict)
# Hard assignment of the object's __dict__. This is nasty but deliberate.
fm.__dict__.clear()
fm.__dict__.update(dct)
class FakeModule(types.ModuleType):
"""Simple class with attribute access to fake a module.
This is not meant to replace a module, but to allow inserting a fake
module in sys.modules so that systems which rely on run-time module
importing (like shelve and pickle) work correctly in interactive IPython
sessions.
Do NOT use this code for anything other than this IPython private hack."""
def __init__(self,adict=None):
# tmp to force __dict__ instance creation, else self.__dict__ fails
self.__iptmp = None
# cleanup our temp trick
del self.__iptmp
# Now, initialize the actual data in the instance dict.
init_fakemod_dict(self,adict)